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M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “The pursuit of hubbiness: Analysis of hubs in large multidimensional networks”, J. Comput. Science, vol. 2, pp. 223-237, 2011.
F. Bonchi and Giannotti, F., “Pushing Constraints to Detect Local Patterns”, in Local Pattern Detection, 2004, pp. 1-19.
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L. Milli, Monreale, A., Rossetti, G., Pedreschi, D., Giannotti, F., and Sebastiani, F., “Quantification in Social Networks”, in International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, France, 2015.
L. Milli, Monreale, A., Rossetti, G., Giannotti, F., Pedreschi, D., and Sebastiani, F., “Quantification Trees”, in 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, 2013, pp. 528–536.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “Query Answering in Nondeterministic, Nonmonotonic Logic Databases”, in FQAS, 1998, pp. 175-187.
R. Trasarti, Giannotti, F., Nanni, M., Pedreschi, D., and Renso, C., “A Query Language for Mobility Data Mining”, IJDWM, vol. 7, pp. 24-45, 2011.
G. Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., “Querying and Reasoning for Spatiotemporal Data Mining”, in Mobility, Data Mining and Privacy, 2008, pp. 335-374.
G. Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., “Querying and Reasoning for Spatio-Temporal Data Mining”, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.
F. Giannotti and Manco, G., “Querying inductive Databases via Logic-Based user-defined aggregates”, in APPIA-GULP-PRODE, 1999, pp. 605-620.
F. Giannotti and Manco, G., “Querying Inductive Databases via Logic-Based User-Defined Aggregates”, in PKDD, 1999, pp. 125-135.
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M. E. Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., “Ragionamento spazio-temporale con LDLT: primi esperimenti verso un sistema deduttivo per applicazioni geografiche”, in SEBD, 1996, pp. 73-90.
C. Bertazzoni and Giannotti, F., “RASP: A Resource Allocator for Software Projects”, in IEA/AIE (Vol. 2), 1990, pp. 628-637.
F. Bonchi, Giannotti, F., and Pedreschi, D., “A Relational Query Primitive for Constraint-Based Pattern Mining”, in Constraint-Based Mining and Inductive Databases, 2004, pp. 14-37.
P. Cintia, Fadda, D., Giannotti, F., Pappalardo, L., Rossetti, G., Pedreschi, D., Rinzivillo, S., Bonato, P., Fabbri, F., Penone, F., Savarese, M., Checchi, D., Chiaromonte, F., Vineis, P., Guzzetta, G., Riccardo, F., Marziano, V., Poletti, P., Trentini, F., Bella, A., Andrianou, X., Del Manso, M., Fabiani, M., Bellino, S., Boros, S., Urdiales, A. Mateo, Vescio, M. Fenicia, Brusaferro, S., Rezza, G., Pezzotti, P., Ajelli, M., and Merler, S., “The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy”, arXiv preprint arXiv:2006.03141, 2020.
D. Pennacchioli, Coscia, M., Rinzivillo, S., Giannotti, F., and Pedreschi, D., “The retail market as a complex system”, EPJ Data Science, vol. 3, pp. 1–27, 2014.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Retrieving Points of Interest from Human Systematic Movements”, in Software Engineering and Formal Methods, Springer International Publishing, 2014, pp. 294–308.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., and Barabasi, A. - L., “Returners and explorers dichotomy in human mobility”, Nat Commun, vol. 6, 2015.
A. Basu, Monreale, A., Trasarti, R., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., and Yanagihara, T., “A risk model for privacy in trajectory data”, Journal of Trust Management, vol. 2, p. 9, 2015.
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G. Rossetti, Berlingerio, M., and Giannotti, F., “Scalable Link Prediction on Multidimensional Networks”, in ICDM Workshops, Vancouver, 2011, pp. 979-986.
F. Giannotti, Pedreschi, D., and Zaniolo, C., “Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases”, J. Comput. Syst. Sci., vol. 62, pp. 15-42, 2001.
L. Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, “Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter”, in Conference of the Italian Association for Artificial Intelligence, 2017.
S. Marchetti, Giusti, C., Pratesi, M., Salvati, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., Pappalardo, L., and Gabrielli, L., “Small Area Model-Based Estimators Using Big Data Sources”, Journal of Official Statistics, vol. 31, pp. 263–281, 2015.
M. Batty, Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., and Portugali, Y., “Smart cities of the future”, European Physical Journal-Special Topics, vol. 214, p. 481, 2012.
G. Andrienko, Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., and others, “(So) Big Data and the transformation of the city”, International Journal of Data Science and Analytics, 2020.
F. Giannotti, Trasarti, R., Bontcheva, K., and Grossi, V., “SoBigData: Social Mining & Big Data Ecosystem”, in Companion of the The Web Conference 2018 on The Web Conference 2018, 2018.

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